Hi!
I'm pleased to announce the availability of wxGlade revision 1.0.1
Please download from https://sourceforge.net/projects/wxglade/files/wxglade/1.0.1/
wxGlade is a GUI builder for wxWidgets and wxPython.
The documentation includes a tutorial for people who have not used wxPython
before.
Included are also examples for integration with matplotlib.
A snapshot of the documentation is available at http://wxglade.sourceforge.net/docs/index.html
For support, there's a mailing list at https://sourceforge.net/p/wxglade/mailman/wxglade-general/
git repository and bug tracker are at https://github.com/wxGlade/wxGlade
(These pages are also linked from the help menu.)
Changes in revision 1.0.x:
==========================
Besides many improvements in usability, code generation and widget support,
this is also a major internal refactoring of the main data structure and how
widgets in the Design window are created / updated / destroyed.
*General:*
- sizers only required where wx requires them; not required e.g. for
Frame->Panel (used to be Frame->Sizer->Panel)
- better handling of display updates when properties are edited
- accessibility and usability improvements
- Dialog example
- documentation update
*Widgets:*
- all: separate class related properties into Class / Base Classes /
Instance Class
- Dialog: add StdDialogButtonSizer and standard buttons (stock items);
support SetAffirmativeId, SetEscapeId
- Button: support for image direction
- MenuBar: support lambda event handlers
- GridBagSizer: indicate overlapped slots in the Tree view
*Generated Code:*
- no separation into __set_properties/__do_layout any more
- support for instantiation classes
*Internal:*
- internal structures refactored
- add shell window and Tree Printer
wxGlade is released under the MIT license.
Happy New Year,
Dietmar Schwertberger
dietmar(a)schwertberger.de
<P><A HREF="https://sourceforge.net/projects/wxglade/files/wxglade/1.0.1/">wxGlade 1.0.1</A> - GUI builder for wxPython (31-Dec-20)
Python 3.9.7
Get it here: https://www.python.org/downloads/release/python-397/ <https://www.python.org/downloads/release/python-397/>
Python 3.9.7 is the newest major stable release of the Python programming language, and it contains many new features and optimizations. There’s been 187 commits since 3.9.6 which is a similar amount compared to 3.8 at the same stage of the release cycle. See the change log <https://docs.python.org/release/3.9.7/whatsnew/changelog.html> for details.
On macOS, we encourage you to use the universal2 binary installer variant whenever possible. The legacy 10.9+ Intel-only variant will not be provided for Python 3.10 and the universal2 variant will become the default download for 3.9.8. You may need to upgrade third-party components, like pip, to later versions. You may experience differences in behavior in IDLE and other Tk-based applications due to using the newer version of Tk. As always, if you encounter problems when using this installer variant, please check https://bugs.python.org <https://bugs.python.org/> for existing reports and for opening new issues.
The next Python 3.9 maintenance release will be 3.9.8, currently scheduled for 2021-11-01.
<https://discuss.python.org/t/python-3-9-7-and-3-8-12-now-available/10401#th…>The Second Security-Only Release of Python 3.8
Get it here: https://www.python.org/downloads/release/python-3812/ <https://www.python.org/downloads/release/python-3812/>
Security content in this release contains four fixes. There are also four additional fixes for bugs that might have lead to denial-of-service attacks. Finally, while we’re not providing binary installers anymore, for those users who produce installers, we upgraded the OpenSSL version used to 1.1.1l. Take a look at the change log <https://docs.python.org/release/3.8.12/whatsnew/changelog.html> for details.
According to the release calendar specified in PEP 569 <https://www.python.org/dev/peps/pep-0569/>, Python 3.8 is now in “security fixes only” stage of its life cycle: 3.8 branch only accepts security fixes and releases of those are made irregularly in source-only form until October 2024. Python 3.8 isn’t receiving regular bug fixes anymore, and binary installers are no longer provided for it. Python 3.8.10 was the last full bugfix release of Python 3.8 with binary installers.
<https://discuss.python.org/t/python-3-9-7-and-3-8-12-now-available/10401#se…>Security releases of 3.7.12 and 3.6.15
Those aren’t ready just yet but are soon to follow.
Similarly to 3.8, Python 3.7 and 3.6 are now in “security fixes only” stage of their life cycle. Python 3.7 will be providing source archives until June 2023 while Python 3.6 ends its life in December 2021.
<https://discuss.python.org/t/python-3-9-7-and-3-8-12-now-available/10401#we…>We hope you enjoy the new releases
Your friendly release team,
Ned Deily @nad <https://discuss.python.org/u/nad>
Steve Dower @steve.dower <https://discuss.python.org/u/steve.dower>
Łukasz Langa @ambv <https://discuss.python.org/u/ambv>
pytest 6.2.5 has just been released to PyPI.
This is a bug-fix release, being a drop-in replacement. To upgrade::
pip install --upgrade pytest
The full changelog is available at
https://docs.pytest.org/en/stable/changelog.html.
Thanks to all of the contributors to this release:
* Anthony Sottile
* Bruno Oliveira
* Brylie Christopher Oxley
* Daniel Asztalos
* Florian Bruhin
* Jason Haugen
* MapleCCC
* Michał Górny
* Miro Hrončok
* Ran Benita
* Ronny Pfannschmidt
* Sylvain Bellemare
* Thomas Güttler
Happy testing,
The pytest Development Team
Hi everyone,
I’m happy to announce the release of argon2-cffi 21.1.0!
With more than 13 million downloads per month, argon2-cffi is the most popular package for using the competition-winning Argon2 password hash in Python.
If you want more details on Argon2 and why it matters, check out my blog post "Storing Passwords in a Highly Parallelized World" <https://hynek.me/articles/storing-passwords/>.
Heartfelt thanks go to my generous GitHub sponsors <https://github.com/sponsors/hynek>, companies subscribing on Tidelift <https://tidelift.com/subscription/pkg/pypi-argon2-cffi> (currently nobody :( – tell your boss!), and people who bought me a coffee on <https://ko-fi.com/the_hynek>!
Support like that makes me work on FOSS on a Sunday afternoon, so please consider supporting me <https://hynek.me/say-thanks/> too! <3
The highlights of this release are:
- abi3-wheels for all platforms. This means that argon2-cffi is ready for Python 3.10!
- Good bye Python 2.
---
All Changes:
============
Vendoring Argon2 @ 62358ba (20190702)
Backward-incompatible changes:
Microsoft stopped providing the necessary SDKs to ship Python 2.7 wheels and currenly the downloads amount to 0.09%. Therefore we have decided that Python 2.7 is not supported anymore.
Deprecations:
none
Changes:
There are indeed no changes whatsoever to the code of argon2-cffi. The Argon2 project also hasn't tagged a new release since July 2019. There also don't seem to be any important pending fixes.
This release is mainly about improving the way binary wheels are built (abi3 on all platforms).
PyCA cryptography 3.4.8 has been released to PyPI. cryptography
includes both high level recipes and low level interfaces to common
cryptographic algorithms such as symmetric ciphers, asymmetric
algorithms, message digests, X509, key derivation functions, and much
more. We support Python 3.6+, and PyPy3.
Changelog (https://cryptography.io/en/latest/changelog.html#v3-4-8):
* Updated Windows, macOS, and manylinux wheels to be compiled with
OpenSSL 1.1.1l.
-Paul Kehrer (reaperhulk)
Dear colleagues,
We are very happy to announce the v4.3 release of the Astropy package,
a core Python package for Astronomy:
http://www.astropy.org
Astropy is a community-driven Python package intended to contain much
of the core functionality and common tools needed for astronomy and
astrophysics. It is part of the Astropy Project, which aims to foster
an ecosystem of interoperable astronomy packages for Python.
New and improved major functionality in this release includes:
* Transformations to AltAz are now much more precise (and faster)
* Improvements in making Astropy thread-safe
* Performance improvements to sigma clipping
* Changes in the Time and IERS leap second handling
* Support for multidimensional and object columns in ECSV
* Support for reading and writing tables to QDP format
* Append table to existing FITS file
* General masked class for Quantity and other ndarray subclasses
* Configuration file improvements
* Support for different solvers and bracket option in z_at_value
In addition, hundreds of smaller improvements and fixes have been
made. An overview of the changes is provided at:
http://docs.astropy.org/en/stable/whatsnew/4.3.html
Instructions for installing Astropy are provided on our website, and
extensive documentation can be found at:
http://docs.astropy.org
If you usually use pip/vanilla Python, you can do:
pip install astropy --upgrade
Note that this will yield astropy v4.3.1 instead of 4.3, which is
expected - a significant bug reported between the 4.3 release and this
announcement means that the correct version is indeed 4.3.1.
If you make use of the Anaconda Python Distribution, soon you will be
able update to Astropy v4.3.1 with:
conda update astropy
Or if you cannot wait for Anaconda to update their default version,
you can use the conda-forge channel:
conda update -c conda-forge astropy
Please report any issues, or request new features via our GitHub repository:
https://github.com/astropy/astropy/issues
Over 400 people have contributed code to Astropy so far, and you can
find out more about the team behind Astropy here:
https://www.astropy.org/team.html
The LTS (Long Term Support) version of Astropy at the time of v4.3's
release is v4.0 - this version will be maintained until the next LTS
release (v5.0, scheduled for Fall 2021). v4.0.6 is the latest version,
also just released.
Additionally, note that the Astropy 4.x series only supports Python 3.
Python 2 users can continue to use the 2.x series but it is no longer
supported (as Python 2 itself is no longer supported). For assistance
converting Python 2 code to Python 3, see the Python 3 for scientists
conversion guide.
If you use Astropy directly for your work, or as a dependency to
another package, please remember to acknowledge it by citing the
appropriate Astropy paper. For the most up-to-date suggestions, see
the acknowledgement page, but as of this release the recommendation
is:
This research made use of Astropy, a community-developed core Python
package for Astronomy (Astropy Collaboration, 2013, 2018).
We hope that you enjoy using Astropy as much as we enjoyed developing it!
Erik Tollerud
v4.3 Release Coordinator
on behalf of The Astropy Project
https://www.astropy.org/announcements/release-4.3.html
